Table 2.
Finite Mixture Model (FMM): parameter estimates
| Component #1 | Component #2 | Component #3 | |
|---|---|---|---|
| μ(IGF1-Ea)k | 0.8420 | 0.8443 | 0.6772 |
| μ(IGF1-Eb)k | 0.1468 | 0.1166 | 0.2992 |
| σ2 (IGF1-Ea)k | 0.0016 | 0.0023 | 0.0011 |
| σ2 (IGF1-Eb)k | 0.0013 | 0.0006 | 0.0018 |
| σ(Ea, Eb)k | −0.0014 | −0.0011 | −0.0014 |
| ρ(Ea, Eb)k | −0,9884 | −0,9827 | −0,9878 |
| πk | 0.68322399 | 0.22616579 | 0.09061023 |
Finite Mixture Model (FMM): parameter estimates for the component specific means (μ), variances/covariances (σ), correlations (ρ) and prior probabilities (π)